Physical layer security (PLS) has grown in popularity as it guarantees secure and reliable
communication between wireless devices without restricting the ability of data analysts to …

In model-driven deep learning (DL)-based channel estimation methods for orthogonal
frequency division multiplexing (OFDM) systems, all input features obtained through …

This chapter discusses the potential role of machine learning (ML)/deep learning
(DL)/artificial intelligence (AI) for 6G wireless communication systems. Developing an …

As telecommunication systems evolve to meet increasing demands, integrating deep neural
networks (DNNs) has shown promise in enhancing performance. However, the trade-off …

Terahertz wave is a relatively unexplored part of the electromagnetic spectrum and is known
as the terahertz gap owing to the lack of efficient sources and detectors which could …

We aim to improve both the energy harvesting efficiency and communication reliability of
overlay networks powered by harvested energy. To this end, multiple antennas are …

A novel joint phase noise compensation and signal detection algorithm based on deep
learning (DL) is proposed for orthogonal frequency division multiplexing (OFDM) systems …

Energy harvesting (EH) non-orthogonal multiple access (NOMA) networks exploit the
advantages of both EH and NOMA for high energy efficiency and spectral efficiency. To …

The revolution of Artificial Intelligence (AI) transforms the Multiple Input Multiple Output
(MIMO) technology into Massive MIMO (Ma-MIMO) technology. However, despite the …

This Article's aim is to analyse the wireless communication in Cybersecurity. The topic of this
paper provides readers with a better grasp of the safety guidelines and measures that are …